Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment

dc.creatorDueri, S.
dc.creatorBrown, H.
dc.creatorAsseng, S.
dc.creatorEwert, F.
dc.creatorWebber, H.
dc.creatorGeorge, M.
dc.creatorCraigie, R.
dc.creatorGuarin, J.R.
dc.creatorPequeno, D.N.L.
dc.creatorStella, T.
dc.creatorMukhtar Ahmed
dc.creatorAlderman, P.D.
dc.creatorBasso, B.
dc.creatorBerger, A.G.
dc.creatorBracho-Mujica, G.
dc.creatorCammarano, D.
dc.creatorYi Chen
dc.creatorDumont, B.
dc.creatorRezaei, E.E.
dc.creatorFereres, E.
dc.creatorFerrise, R.
dc.creatorGaiser, T.
dc.creatorYujing Gao
dc.creatorGarcia-Vila, M.
dc.creatorGayler, S.
dc.creatorHochman, Z.
dc.creatorHoogenboom, G.
dc.creatorKersebaum, K.C.
dc.creatorNendel, C.
dc.creatorOlesen, J.E.
dc.creatorPadovan, G.
dc.creatorPalosuo, T.
dc.creatorPriesack, E.
dc.creatorPullens, J.W.M.
dc.creatorRodríguez, A.
dc.creatorRotter, R.
dc.creatorRuiz Ramos, M.
dc.creatorSemenov, M.A.
dc.creatorSenapati, N.
dc.creatorSiebert, S.
dc.creatorAmit Kumar Srivastava
dc.creatorStockle, C.
dc.creatorSupit, I.
dc.creatorFulu Tao
dc.creatorThorburn, P.J.
dc.creatorWang, E.
dc.creatorWeber, T.K.D.
dc.creatorLiujun Xiao
dc.creatorChuang Zhao
dc.creatorJin Zhao
dc.creatorZhigan Zhao
dc.creatorYan Zhu
dc.creatorMartre, P.
dc.date2023-07-14T00:30:16Z
dc.date2023-07-14T00:30:16Z
dc.date2022
dc.date.accessioned2023-07-17T20:10:42Z
dc.date.available2023-07-17T20:10:42Z
dc.identifierhttps://hdl.handle.net/10883/22643
dc.identifier10.1093/jxb/erac221
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514385
dc.descriptionCrop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures.
dc.description5715-5729
dc.languageEnglish
dc.publisherOxford University Press
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source16
dc.source73
dc.source0022-0957
dc.sourceJournal of Experimental Botany
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectMulti-Model Ensemble
dc.subjectSowing Density
dc.subjectTiller Mortality
dc.subjectSOWING DATE
dc.subjectTILLERING
dc.subjectWHEAT
dc.subjectYIELD POTENTIAL
dc.subjectSustainable Agrifood Systems
dc.titleSimulation of winter wheat response to variable sowing dates and densities in a high-yielding environment
dc.typeArticle
dc.typePublished Version
dc.coverageOxford (United Kingdom)


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